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Earthquake and Tsunami Disaster Risk Mapping and Mitigation Strategy in Torok Aik Belek Hamlet: Community-Based Approach Syamsuddin Syamsuddin; Rahmatun Inayah; Ika Umratul Asni Aminy; Adella Ulyandana Jayatri; Kormil Saputra; Suhayat Minardi; Alfina Taurida Alaydrus; Dian Wijaya Kurniawidi
Media for Empowerment, Mobilization, and Innovation in Research & Community Vol. 1 No. 1 (2025): January-June
Publisher : Future Tecno-Science Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/nfzp4m45

Abstract

Indonesia has a high level of geological disaster threat due to its location at the meeting point of three tectonic plates, making coastal areas, such as Lombok Island, very vulnerable to earthquakes and tsunamis. Although Lombok has a history of earthquakes (2018) and tsunamis (1977), initial observations in Torok Aik Belek Hamlet, South Lombok, show that community awareness and preparedness for disaster mitigation are still low, exacerbated by unverified information on social media and the perception of underestimating potential hazards. This study aims to conduct participatory earthquake and tsunami risk mapping in Torok Aik Belek Hamlet and develop community-based mitigation strategies. The implementation methods include initial assessment, coordination with BMKG, presentation of materials, interactive counseling, and community empowerment as a disaster preparedness team. The results of the activities show clear identification of disaster-prone locations (for example, residential areas near the coast and concrete buildings) and vulnerable groups. Utilization of local potential, such as hills as evacuation routes and disaster-resilient village status, is the basis for developing disaster mitigation strategies. The formation of a local community in Torok Aik Belek Hamlet involving residents and members of the Disaster Resilient Village is a crucial step. It is hoped that this effort can significantly increase the preparedness of the Torok Aik Belek Hamlet community and contribute to an adaptive and sustainable community-based mitigation development model.
PENYELARASAN LARGE LANGUAGE MODEL SEBAGAIASISTEN PEMBELAJARAN DI SMAN 1 GERUNG Ramadian Ridho Illahi; Suhayat Minardi; Dian Wijaya Kurniawidi; Arif Budianto; Adella Ulyandana Jayatri; Nurul Qomariyah; Lily Syahana Rahim
Dharma Pengabdian Perguruan Tinggi (DEPATI) Vol 5 No 2 (2025): November 2025
Publisher : Fakultas Sains dan Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/31sdgv53

Abstract

Pembelajaran fisika sering kali menjadi tantangan, terutama karena kompleksitas materi serta metode pengajaran konvensional yang kurang mendukung kebutuhan individu siswa. Guru menghadapi keterbatasan waktu dan sumber daya untuk memberikan perhatian personal kepada setiap siswa, sementara platform berbasis kecerdasan buatan (AI) yang tersedia belum sesuai dengan kurikulum nasional. Pengabdian ini bertujuan mengembangkan aplikasi tutor virtual berbasis AI untuk mendukung pembelajaran fisika yang adaptif dan relevan. Aplikasi ini dirancang untuk menyajikan materi sesuai kurikulum, memberikan penjelasan interaktif, memantau kemajuan siswa, dan menyediakan umpan balik konstruktif. Metode yang digunakan mencakup analisis kebutuhan sekolah mitra, pengembangan kurikulum digital, implementasi teknologi Large Language Model (LLM), serta uji coba di sekolah mitra. Hasil pelatihan menunjukkan peningkatan signifikan dalam pemahaman konsep dan kemampuan menyusun solusi berbasis AI, dengan 85% peserta berhasil menciptakan prototipe model kontekstual. Untuk menjamin keberlanjutan, disusun repositori digital terbuka dan klinik virtual sebagai pusat dukungan teknis dan kolaborasi. Inisiatif ini membuktikan bahwa LLM dapat menjadi alat efektif untuk personalisasi pembelajaran sains yang diharapkan dapat meningkatkan kualitas pembelajaran fisika secara signifikan.
Effect of Polyol Synthesis Parameters on Particle Size and Crystal Size of ZnO: A Systematic Review Kormil Saputra; Rizka Ayu Fitri; Dian Wijaya Kurniawidi
MASALIQ Vol 6 No 4 (2026): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i4.10508

Abstract

Zinc oxide nanoparticles (ZnO NPs) are semiconductor oxide materials that have been widely developed because of their high chemical stability, relatively low synthesis cost, and broad potential applications in photocatalysis, sensors, pigments, catalysts, optical materials, and nanofluid systems. Particle size and crystallite size are critical parameters because they directly influence surface area, crystallinity, morphology, charge transfer, and the functional performance of ZnO. This study aims to examine the effects of synthesis parameters in the polyol method on the particle size and crystallite size of ZnO-based nanomaterials through a systematic literature review. Relevant literature published between 2021 and 2026 was collected from Scopus, ScienceDirect, and Google Scholar using Boolean search strategies. The selected articles were screened based on predetermined inclusion and exclusion criteria and analyzed using a descriptive-comparative approach. The review findings indicate that the polyol method influences the morphostructural characteristics of ZnO through several synthesis variables, including the type of polyol, precursor ratio, water content, base concentration, reaction temperature, reaction time, surfactants, stabilizers, and post-synthesis treatment. Ethylene glycol and diethylene glycol tend to support the formation of ZnO with smaller crystallite size and more controlled morphology, whereas prolonged reaction time and high-temperature calcination may increase crystal growth. In addition, doping and the use of surfactants can restrict crystal growth and reduce agglomeration. This review concludes that the polyol method is effective for controlling the particle size and crystallite size of ZnO; however, simultaneous optimization of synthesis parameters is required to obtain ZnO nanomaterials with morphostructural characteristics suitable for functional applications.
Pengaruh Parameter Green Sintesis TiO₂ Berbasis Metode Solvotermal terhadap Ukuran Partikel dan Ukuran Kristal: A Systematic Review Dian Wijaya Kurniawidi; Kormil Saputra; Nur Azzahra Al Radhiyah; Indrawan Eka Badri; Ika Umratul Asni Aminy
MASALIQ Vol 6 No 4 (2026): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i4.10523

Abstract

Titanium dioxide (TiO₂) is a semiconductor material widely used in photocatalysis, sensor, energy conversion, and environmental remediation applications because its performance is strongly influenced by structural characteristics, particularly particle size, crystal size, morphology, and crystal phase. This systematic review aims to analyze the influence of green synthesis parameters based on the solvothermal method on the particle size and crystal size of TiO₂. Articles were collected from the Scopus, ScienceDirect, and Google Scholar databases within the 2021–2025 publication range using combinations of Boolean keywords related to solvothermal synthesis, TiO₂, and green synthesis. Article selection was conducted based on inclusion and exclusion criteria emphasizing original research articles, the use of the solvothermal method, a green synthesis approach, and the availability of material characterization data. The review results showed that four articles met the inclusion criteria, with variations in TiO₂ particle size ranging from 25.41 to 100 nm and crystal size ranging from 0.96 to 31.9 nm. Parameters such as precursor type, solvent, green extract, solvothermal temperature, and processing time played important roles in regulating nucleation, crystal growth, surface stabilization, and particle agglomeration. The smallest particle size was obtained in the titanium isopropoxide–deionized water–banana peel system at 100 °C, whereas modified systems such as Ag-doped TiO₂ and TiO₂@g-C₃N₄ showed that application performance is determined not only by particle size but also by electronic engineering and interface structure. The conclusion of this review affirms that the optimization of green solvothermal synthesis of TiO₂ needs to be directed toward integrated control of particle size, crystal size, crystal phase, morphology, and application performance. The implications of this review contribute to the development of more targeted, efficient, and relevant green TiO₂ synthesis for sustainable functional material applications.